Uncovering Potential Breast Cancer Biomarkers Amp; Possible Drug Targets Using Advanced Quantitative Mass Spectrometry

NCT01619514 | Unknown DMC

• 1 other identifier: 2012/00106
• Study Type: observational
• Target: N/A
• Locations: 1 country
• Sites: 1

Brief Summary

The purpose of this study is to evaluate the use of advanced quantitative mass spectometry (Super SILAC) as a discovery platform to uncover novel protein biomarkers in tumor and to compare the protein profile between different subtypes of breast cancer (ER positive, HER2 positive, triple negative). A maximum of 100 breast tumor specimens will be obtained from the NUHS Tissue repository, comprising approximately equal proportion of ER positive, HER2 positive, and triple negative tumors. Samples will be analyzed using advanced Mass Spectrometry (Super SILAC) as a discovery platform to identify novel protein biomarkers that may be important in cancer. DNA and RNA will also be extracted from tumor samples for correlative analysis with the proteomics data. Genomics and proteomics data will be correlated with clinical data including treatment response and survival data. Importance of proposed research to science or medicine:Identification of tumor biomarkers may allow better prognostication, follow-up, and selection of treatment for cancer patients in the future. Potential benefits and risks: No direct benefit to the patient. Risk to the subjects is minimal as there is no direct patient contact, and analysis is done on previously donated tumor samples. Patients have previously provided consent to donate their samples for research into the NUHS Tissue Repository. Novel tumor biomarkers that determine tumor biology, including prognosis and treatment sensitivity, may be detectable using the novel advanced quantitative mass spectromy method (Super SILAC). Different subtypes of breast cancers will have different proteomic profiles analyzed using super SILAC.

Conditions

Breast Cancer

Outcome Measures

Primary Outcomes (1)

• Evaluate the use of advanced quantitative mass spectometry (Super SILAC) as a discovery platform to uncover novel protein biomarkers in tumor

  SILAC is a method of advanced quantitative mass spectometry that allows whole proteome analysis as comprehensively as transcriptome analysis. It allows quantification of whole-proteome, measure post-translational modifications and map complete interactome of a protein. Super-SILAC, an improvement of the SILAC method, enables the comparison of the amounts of hundreds or thousands of proteins from a particular tissue between different patients. This technology may enable the discovery of novel tumor protein markers that may be important in tumor progression and treatment response.

Eligibility Criteria

• Sex: female
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Tumor specimens that have been stored in the NUHS tissue repository will be retrieved

You may qualify if:

• Patients with breast cancer

Sponsors & Collaborators

• National University Hospital, Singapore: lead

Study Sites (1)

Nationa University Hospital

Singapore, Singapore

RECRUITING

Related Publications (2)

• Geiger T, Cox J, Ostasiewicz P, Wisniewski JR, Mann M. Super-SILAC mix for quantitative proteomics of human tumor tissue. Nat Methods. 2010 May;7(5):383-5. doi: 10.1038/nmeth.1446. Epub 2010 Apr 4.

  PMID: 20364148 BACKGROUND

• Neubert TA, Tempst P. Super-SILAC for tumors and tissues. Nat Methods. 2010 May;7(5):361-2. doi: 10.1038/nmeth0510-361. No abstract available.

  PMID: 20431548 BACKGROUND

MeSH Terms

Conditions

Breast Neoplasms

Condition Hierarchy (Ancestors)

Neoplasms by Site; Neoplasms; Breast Diseases; Skin Diseases; Skin and Connective Tissue Diseases

Central Study Contacts

Soo Chin Lee, MBBS, MRCP

CONTACT

+65 6779 5555; Soo_Chin_Lee@nuhs.edu.sg

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: April 2, 2012
• First Posted: June 14, 2012
• Study Start: March 1, 2012
• Primary Completion: March 1, 2014
• Last Updated: December 11, 2013

Record last verified: 2013-12

Locations

SG (1)